Skip to content

streaming attention mechanisms for end-to-end automatic speech recognition

Notifications You must be signed in to change notification settings

ishine/streaming-attention

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Streaming-attention

  • Provide codes of streaming attention mechanisms for end-to-end automatic speech recognition using Pytorch

  • Provide algorithms of the implementation of these streaming attention mechanisms for better understading

  • Compatible to ESPnet

Stable Monotonic Chunkwise Attention (sMoChA)

sMoChA is described in "Online Hybrid CTC/Attention Architecture for End-to-End Speech Recognition" by H Miao, G Gao, P Zhang, T Li, Y Yan, in Proceedings of Interspeech 2019.

Monotonic Truncated Attention (MTA)

MTA is described in an unpublished submitted journal.

About

streaming attention mechanisms for end-to-end automatic speech recognition

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages